Ziv Binyamini is the CEO of Foretellix, producing tools and methodologies in complex verification to allow broad deployment of autonomous vehicles. He is a world-renowned verification visionary with more than 30 years of experience. Previously, Ziv served as Corporate VP at Cadence, running its simulation and verification business. He also served as VP of R&D at Verisity and at Intel, leading the development of Coverage Driven Verification solutions that changed the way semiconductors were tested.

Foretellix's mission is to make Autonomous Vehicles safer. The company is founded by a team of verification experts and thought leaders from the VLSI chip design and SoC world. We believe we can make a difference using our broad verification expertise, and we see it as our duty to help the automotive industry make AV’s safer by delivering a better verification solution. By doing that, we will help the industry reduce autonomous vehicles accidents and help save lives. There is no standard approach in today’s AV industry for verification of autonomous vehicles. Car vendors and regulators alike, are trying to figure out how to qualify, certify and supervise the deployment of autonomous vehicles on the roads. Foretellix‘s approach is answering this need based on proven verification techniques. Our vision is to deliver a scenario definition language, which will set the standard for the creation and certification of safe autonomous vehicles. This will bridge the gap between the advanced AV technology already available today, and the ability to put these driverless cars safely on the road. Our product is a comprehensive system verification framework (SVF) aimed at verification of Autonomous Vehicles (AVs). This framework is based on approaches used in VLSI chip design, adapted and enhanced to meet the needs of AV verification. The foundation of the system is a Scenario Description Language (SDL). Our vision is to make SDL an open, standard language. SVF implements coverage driven validation, based on constrained-random SDL scenario generation. Those scenarios can run on multiple execution platforms ranging from simulation to street driving. SVF offers a flexible, cost efficient and comprehensive framework, addressing the full development process of autonomous vehicles. We are looking for brilliant engineers to join our dream team. We are currently looking for a co-development partner to tune our solution.